{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ed925835-1e68-44b9-a8c5-42820b716e70",
   "metadata": {},
   "source": [
    "# SVM支持向量机"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "008c5aa0-446a-49a9-a344-81183709b5ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import stats\n",
    "\n",
    "# use seaborn plotting defaults\n",
    "import seaborn as sns; sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "88e4e662-3c7e-4111-b57e-654135db653a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_blobs\n",
    "X, y = make_blobs(n_samples=100, centers=2,\n",
    "                  random_state=1024, cluster_std=2)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn');\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bd08027e-22cb-47b8-988a-4301098c28bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xfit = np.linspace(-1, 3.5)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn')\n",
    "plt.plot([0.6], [2.1], 'x', color='red', markeredgewidth=2, markersize=10)\n",
    "\n",
    "for m, b in [(1, 0.65), (0.5, 1.6), (-0.2, 2.9)]:\n",
    "    plt.plot(xfit, m * xfit + b, '-k')\n",
    "\n",
    "plt.xlim(-1, 3.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a73bb1f2-4277-48fa-ba08-d0b878a1e17c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xfit = np.linspace(-1, 3.5)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn')\n",
    "\n",
    "for m, b, d in [(1, 0.65, 0.33), (0.5, 1.6, 0.55), (-0.2, 2.9, 0.2)]:\n",
    "    yfit = m * xfit + b\n",
    "    plt.plot(xfit, yfit, '-k')\n",
    "    plt.fill_between(xfit, yfit - d, yfit + d, edgecolor='none',\n",
    "                     color='#AAAAAA', alpha=0.4)\n",
    "\n",
    "plt.xlim(-1, 3.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b139fa01-8c07-4b6c-90f7-8b9646648f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=100000.0, kernel=&#x27;linear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(C=100000.0, kernel=&#x27;linear&#x27;)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "SVC(C=100000.0, kernel='linear')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC # \"Support vector classifier\"\n",
    "model = SVC(kernel='linear', C=1E5)\n",
    "model.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0b3182f2-88ba-4958-810b-9b45daf4f71e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_svc_decision_function(model, ax=None, plot_support=True):\n",
    "    \"\"\"Plot the decision function for a 2D SVC\"\"\"\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "    xlim = ax.get_xlim()\n",
    "    ylim = ax.get_ylim()\n",
    "    \n",
    "    # create grid to evaluate model\n",
    "    x = np.linspace(xlim[0], xlim[1], 30)\n",
    "    y = np.linspace(ylim[0], ylim[1], 30)\n",
    "    Y, X = np.meshgrid(y, x)\n",
    "    xy = np.vstack([X.ravel(), Y.ravel()]).T\n",
    "    P = model.decision_function(xy).reshape(X.shape)\n",
    "    \n",
    "    # plot decision boundary and margins\n",
    "    ax.contour(X, Y, P, colors='k',\n",
    "               levels=[-1, 0, 1], alpha=0.5,\n",
    "               linestyles=['--', '-', '--'])\n",
    "    \n",
    "    # plot support vectors\n",
    "    if plot_support:\n",
    "        ax.scatter(model.support_vectors_[:, 0],\n",
    "                   model.support_vectors_[:, 1],\n",
    "                   s=300, linewidth=1, facecolors='none');\n",
    "    ax.set_xlim(xlim)\n",
    "    ax.set_ylim(ylim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8b8ec63e-e8ea-4a96-a888-5d3de6dae700",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn')\n",
    "plot_svc_decision_function(model);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff74e483-7896-4a6b-8040-eb3e0e8620ea",
   "metadata": {},
   "source": [
    "# 非线性SVM\n",
    "让我们来看看一些不可线性分离的数据："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "04f6afcd-8241-46c9-beaf-53708b954bd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_circles\n",
    "X, y = make_circles(100, factor=.3, noise=.2)\n",
    "\n",
    "clf = SVC(kernel='linear').fit(X, y)\n",
    "\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn')\n",
    "plt.show\n",
    "#plot_svc_decision_function(clf, plot_support=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "574c5cbf-bef9-4bb1-873d-67865406d003",
   "metadata": {},
   "source": [
    "## 显然，任何线性判别都无法将这些数据分开。但是，我们可以使用一种简单的投影方法，即计算以中间团块为中心的圆形边界："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ffc60021-fa37-4589-8cad-a52f4db88f11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-2 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-2 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-2 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-2 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=10000.0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(C=10000.0)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "SVC(C=10000.0)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = SVC(kernel='rbf', C=1E4)\n",
    "clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d6eb25b3-5abd-45c7-8aef-62ba86cda877",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(X[:, 0], X[:, 1], c=y, s=50, cmap='autumn')\n",
    "plot_svc_decision_function(clf)\n",
    "plt.scatter(clf.support_vectors_[:, 0], clf.support_vectors_[:, 1],\n",
    "            s=300, lw=1, facecolors='none');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9b145f85-0bc6-48ea-b517-b66d93c99927",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from sklearn import svm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8093bd83-9946-4a3a-b5bb-4492987acb4d",
   "metadata": {},
   "source": [
    "# 我们将数字数据集加载到内存中，用变量 *digits* 来引用它。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "75eeae7b-3ea7-4faa-9a0d-6d1061f15f26",
   "metadata": {},
   "outputs": [],
   "source": [
    "digits = datasets.load_digits()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7f2ef7d-34a6-40ec-b49f-e8d847f17f5d",
   "metadata": {},
   "source": [
    "# 我们可以以*digits*输出数据集："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e5bd2b1f-8127-4ae7-bdd3-bd1b3903d6fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.  0.  5. ...  0.  0.  0.]\n",
      " [ 0.  0.  0. ... 10.  0.  0.]\n",
      " [ 0.  0.  0. ... 16.  9.  0.]\n",
      " ...\n",
      " [ 0.  0.  1. ...  6.  0.  0.]\n",
      " [ 0.  0.  2. ... 12.  0.  0.]\n",
      " [ 0.  0. 10. ... 12.  1.  0.]]\n"
     ]
    }
   ],
   "source": [
    "print(digits.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf3ec6a9-c4bc-43b6-9168-cae610efa9db",
   "metadata": {},
   "source": [
    "# 数据包含实际特征。您可以在 Scikit-learn 网站上找到数字数据集的简要说明。该数据集包含 0 至 9 位数字的 8x8 图像。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8790162-d0f2-4555-947a-6ae02aa935ae",
   "metadata": {},
   "source": [
    "# 我们可以打印出数字的图像。在本例中，我们打印的是数字 0："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c627896b-38a5-4b96-b528-633830d88693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.gray()\n",
    "plt.matshow(digits.images[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10753d0b-6a74-4193-bc3e-640085264727",
   "metadata": {},
   "source": [
    "# 鸢尾花"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f4fea1da-d8ec-4b76-8509-9b2dc0fc29a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import datasets\n",
    "iris = datasets.load_iris()\n",
    "X=iris.data\n",
    "y=iris.target\n",
    "X_names = iris.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bd41dbc8-ec4d-4b71-9d5b-fea07225c764",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.30,random_state=2048)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "88c2f170-878a-4ab6-afd5-08d8caa3a8be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-3 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-3 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-3 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-3 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=10000.0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(C=10000.0)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "SVC(C=10000.0)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = SVC(kernel='rbf', C=1E4)\n",
    "clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f6f76793-638b-417b-809a-bef683594205",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9777777777777777\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        16\n",
      "           1       0.94      1.00      0.97        15\n",
      "           2       1.00      0.93      0.96        14\n",
      "\n",
      "    accuracy                           0.98        45\n",
      "   macro avg       0.98      0.98      0.98        45\n",
      "weighted avg       0.98      0.98      0.98        45\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 方法1：直接使用模型的score方法计算正确率\n",
    "print(clf.score(X_test,y_test))\n",
    "\n",
    "# 方法2：使用sklearn.metrics下的classification_report方法\n",
    "# 先对测试集进行预测\n",
    "y_pred = clf.predict(X_test) #预测类别标签\n",
    "#y_pred_prob = clf.predict_proba(X_test) #预测类别概率\n",
    "\n",
    "# 分类评估报告classification_report\n",
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test,y_pred))\n",
    "\n",
    "#来一个更美观一些误分类矩阵\n",
    "from sklearn.metrics import confusion_matrix\n",
    "def show_confusion_matrix(cnf_matrix, class_labels):\n",
    "    plt.matshow(cnf_matrix, cmap=plt.cm.YlGn, alpha=0.7)\n",
    "    ax = plt.gca()\n",
    "    ax.set_xlabel('Predicted Label', fontsize=16)\n",
    "    ax.set_xticks(range(0,len(class_labels)))\n",
    "    ax.set_xticklabels(class_labels,rotation=45)\n",
    "    ax.set_ylabel('Actual Label', fontsize=16, rotation=90)\n",
    "    ax.set_yticks(range(0,len(class_labels)))\n",
    "    ax.set_yticklabels(class_labels)\n",
    "    ax.xaxis.set_label_position('top')\n",
    "    ax.xaxis.tick_top()\n",
    "\n",
    "    for row in range(len(cnf_matrix)):\n",
    "        for col in range(len(cnf_matrix[row])):\n",
    "            ax.text(col, row, cnf_matrix[row][col], va='center', ha='center', fontsize=16)\n",
    "\n",
    "class_labels = [0,1]\n",
    "\n",
    "cnf_matrix = confusion_matrix(y_test,y_pred) \n",
    "show_confusion_matrix(cnf_matrix, class_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6238ebf3-1f68-4510-a648-d17078f7f336",
   "metadata": {},
   "source": [
    "## 聚类分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "518c88c4-ca40-4233-be59-f5eb299f6dc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import scipy\n",
    "from scipy.cluster import hierarchy\n",
    "dendro=hierarchy.dendrogram(hierarchy.linkage(X,method='ward'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d38bcfb-c950-4967-861c-79b940d0a8c3",
   "metadata": {},
   "source": [
    "#### 我们还可以利用另外一个方法：肘部法则（Elbow method）来寻找最优的聚类个数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ad463127-a5aa-457b-afc9-4de417660801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'wcss: sum of dist. of sample to their closest cluster center')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "wcss=[]\n",
    "for i in range(1,10):\n",
    "    kmeans=KMeans(n_clusters=i,init='k-means++',)\n",
    "    kmeans.fit(X)\n",
    "    wcss.append(kmeans.inertia_)\n",
    "    \n",
    "plt.plot(range(1,10),wcss)\n",
    "plt.title('Elbow Method')\n",
    "plt.xlabel('No. of cluster')\n",
    "plt.ylabel('wcss: sum of dist. of sample to their closest cluster center' )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adfbe136-cb62-4043-9aac-600e0741d8ed",
   "metadata": {},
   "source": [
    "## 5. 用Kmeans聚类，聚类个数=5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8a637d12-e49c-42b8-bd7f-c9ed659c2e44",
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans_1=KMeans(n_clusters=3)\n",
    "kmeans_1.fit(X)\n",
    "cluster_pred=kmeans_1.predict(X)\n",
    "cluster_pred_2=kmeans_1.labels_\n",
    "cluster_center=kmeans_1.cluster_centers_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d17307d9-05ec-443d-8840-3be0afb48c78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2,\n",
       "       2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2,\n",
       "       2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1], dtype=int32)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 聚类结果\n",
    "cluster_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "76817262-033a-40d7-87d6-8df2e289efee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.006     , 3.428     , 1.462     , 0.246     ],\n",
       "       [5.9016129 , 2.7483871 , 4.39354839, 1.43387097],\n",
       "       [6.85      , 3.07368421, 5.74210526, 2.07105263]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 类中心点\n",
    "cluster_center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "25df4b24-0273-4a40-9ef6-8898c8e1097b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2,\n",
       "       2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2,\n",
       "       2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1], dtype=int32)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_label = kmeans_1.predict(X) \n",
    "cluster_label"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ec59f04-9e50-4dc6-b528-b1a98170c6db",
   "metadata": {},
   "source": [
    "## 6. 聚类结果可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb266661-7e0a-4926-9233-7f214f0278e2",
   "metadata": {},
   "source": [
    "#### 把聚类结果关联回原始数据集（未标准化的数据）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "395c5a4d-0de6-4bc7-81fe-8ae4b1bbd51c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = sns.load_dataset(\"iris\") #使用了seaborn自带的iris数据集，sklearn的iris把X和y拆分开了，不适合直接使用\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "21da18e8-7be2-4bcd-8ce0-a9e4a5883d8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualising the clusters\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.scatter(X[cluster_pred==0,0],X[cluster_pred==0,1], s = 100, c = 'red', label ='cluster 1' )\n",
    "plt.scatter(X[cluster_pred==1,0],X[cluster_pred==1,1], s = 100, c = 'blue', label ='cluster 2' )\n",
    "plt.scatter(X[cluster_pred==2,0],X[cluster_pred==2,1], s = 100, c = 'green', label ='cluster 3' )\n",
    "plt.scatter(cluster_center[:,0],cluster_center[:,1], s = 300, c = 'yellow', label = 'Centroids')\n",
    "plt.xlabel('petal width (cm)')\n",
    "plt.ylabel('sepal length (cm)')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a130b0b-b5d5-4f26-b326-2c8e0c98ceb8",
   "metadata": {},
   "source": [
    "# 作业"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5bf712b0-f6cd-4a2b-98ca-37695c8f59c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8933333333333333\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        50\n",
      "           1       0.77      0.96      0.86        50\n",
      "           2       0.95      0.72      0.82        50\n",
      "\n",
      "    accuracy                           0.89       150\n",
      "   macro avg       0.91      0.89      0.89       150\n",
      "weighted avg       0.91      0.89      0.89       150\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "y_pred = kmeans_1.predict(X)\n",
    "\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import accuracy_score\n",
    "accuracy = accuracy_score(y,y_pred)\n",
    "print(accuracy)\n",
    "\n",
    "# 分类评估汇总报告classification_report\n",
    "print(classification_report(y,y_pred))\n",
    "\n",
    "# 定义了一个更美观误分类矩阵的函数\n",
    "def show_confusion_matrix(cnf_matrix, class_labels):\n",
    "    plt.matshow(cnf_matrix, cmap=plt.cm.YlGn, alpha=0.7)\n",
    "    ax = plt.gca()\n",
    "    ax.set_xlabel('Predicted Label', fontsize=16)\n",
    "    ax.set_xticks(range(0,len(class_labels)))\n",
    "    ax.set_xticklabels(class_labels,rotation=45)\n",
    "    ax.set_ylabel('Actual Label', fontsize=16, rotation=90)\n",
    "    ax.set_yticks(range(0,len(class_labels)))\n",
    "    ax.set_yticklabels(class_labels)\n",
    "    ax.xaxis.set_label_position('top')\n",
    "    ax.xaxis.tick_top()\n",
    "\n",
    "    for row in range(len(cnf_matrix)):\n",
    "        for col in range(len(cnf_matrix[row])):\n",
    "            ax.text(col, row, cnf_matrix[row][col], va='center', ha='center', fontsize=16)\n",
    "\n",
    "# 误分类矩阵\n",
    "class_labels = [0,1,2]\n",
    "cnf_matrix = confusion_matrix(y,y_pred) #cluster_label是聚类结果，y是真实的类标签\n",
    "show_confusion_matrix(cnf_matrix, class_labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "38943f44-20e3-4264-8142-69d211172ee0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn import datasets\n",
    "from sklearn.cluster import KMeans\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a24c2a2a-a029-4b92-a321-866b60afea76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
     ]
    }
   ],
   "source": [
    "#读取iris数据\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data\n",
    "X_names = iris.feature_names\n",
    "y = iris.target\n",
    "print(X_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0487f766-f07e-469c-881d-c4f27170e956",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = sns.load_dataset(\"iris\") #使用了seaborn自带的iris数据集，sklearn的iris把X和y拆分开了，不适合直接使用\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0e51c515-b4ab-4075-97e2-2a9eb0299f04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fbd35193eb0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1130x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris, hue=\"species\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89b3ca7b-2927-40a4-93ca-46092fda5adb",
   "metadata": {},
   "source": [
    "#### 在原始数据的基础上统计中心点的值（groupby cluster，求特征的均值）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bca61996-2ad7-4c80-889c-8e24a9afdf7a",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df_cluster' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[39], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m mean \u001b[38;5;241m=\u001b[39m \u001b[43mdf_cluster\u001b[49m\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcluster\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mmean()\n\u001b[1;32m      2\u001b[0m cluster_center_ori \u001b[38;5;241m=\u001b[39m mean[[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msepal width (cm)\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msepal length (cm)\u001b[39m\u001b[38;5;124m'\u001b[39m]]\n\u001b[1;32m      3\u001b[0m cluster_center_ori \u001b[38;5;241m=\u001b[39m cluster_center_ori\u001b[38;5;241m.\u001b[39mvalues\n",
      "\u001b[0;31mNameError\u001b[0m: name 'df_cluster' is not defined"
     ]
    }
   ],
   "source": [
    "mean = df_cluster.groupby('cluster').mean()\n",
    "cluster_center_ori = mean[['sepal width (cm)','sepal length (cm)']]\n",
    "cluster_center_ori = cluster_center_ori.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df3eafcf-67e4-4cb4-a5a7-4bdb3c7353a7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c829e85-e463-43a8-bb81-46fd2cb64ae5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d4d8532-bcdc-44de-8069-234a3b4f285d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cf77f2f-682a-4919-a73d-4074841d5c90",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88d83959-d3e0-4a64-baf9-23cfa6c76419",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d760322d-2e01-465b-a336-438790669386",
   "metadata": {},
   "source": [
    "# 客户细分"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a3c5051-61b6-46a0-8523-9d4702327080",
   "metadata": {},
   "source": [
    "## 1. 导入相关库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2aa1fe06-7597-48ae-a390-e7f50cfb45cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05fb2283-68e7-4a50-b655-e32c92834f43",
   "metadata": {},
   "source": [
    "## 2. 加载数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "30c39042-bbac-46ff-bc6a-aac82ff14140",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Age</th>\n",
       "      <th>Annual Income (k$)</th>\n",
       "      <th>Spending Score (1-100)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>19</td>\n",
       "      <td>15</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Female</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Female</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Female</td>\n",
       "      <td>31</td>\n",
       "      <td>17</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CustomerID   Genre  Age  Annual Income (k$)  Spending Score (1-100)\n",
       "0           1    Male   19                  15                      39\n",
       "1           2    Male   21                  15                      81\n",
       "2           3  Female   20                  16                       6\n",
       "3           4  Female   23                  16                      77\n",
       "4           5  Female   31                  17                      40"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset=pd.read_csv('../../machine-learning/notebooks/clustering-model-example/Mall_Customers.csv')\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8eeef69b-c313-427c-9a00-75ff5b07b4f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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